The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Tools to Design or Visualize Architecture of Neural Network

DeepStream SDK Python bindings and sample applications

📚 Freely available programming books

Create and modify Word documents with Python

Bringing Old Photo Back to Life (CVPR 2020 oral)

A new algorithm for retrieving topological skeleton as a set of polylines from binary images

Code for "What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction", Schöller et al., Robotics and Automation Letters (RA-L), 2020

CODO是一款为用户提供企业多混合云、全球一站式DevOps、自动化运维、完全开源的云管理平台、自动化运维平台

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

MOT using deepsort and yolov3 with pytorch

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Best Practices, code samples, and documentation for Computer Vision.

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Robust Activation Maps

[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation

Low-code framework for building custom LLMs, neural networks, and other AI models

Image-to-Image Translation in PyTorch

100-Days-Of-ML-Code中文版

Track multiple objects based on their color using OpenCV

Deep Learning Pipelines for Apache Spark

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

pytorch to caffe by onnx

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

Code for visualizing the loss landscape of neural nets

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

📊 A simple command-line utility for querying and monitoring GPU status